Call for Papers: Emerging challenges of IoT and Big data technologies for healthcare

Overview:

The next era will be the connections between physical things and the internet. Before Internet of Things, patients’ interactions with doctors were limited to visits, and tele and text communications. However, the integrating of healthcare with IoT into medical devices will help to improve the quality and medical service. For example, Internet of Things (IoT)-enabled devices have made remote monitoring in the healthcare sector possible, unleashing the potential to keep patients safe and healthy, and empowering physicians to deliver superlative care. It has also increased patient engagement and satisfaction as interactions with doctors have become easier and more efficient. Furthermore, remote monitoring of patient’s health helps in reducing the length of hospital stay and prevents re-admissions. IoT also has a major impact on reducing healthcare costs significantly and improving treatment outcomes.

Therefore, the integrating of IoT and Healthcare can heavily benefit patients, families, physicians, hospitals and insurance companies. Especially, it is of great importance for patients with chronic conditions and people who need long-term supervision. This special issue mainly will focus on the recent advancements on Internet of Things and big data of Healthcare. We would like to bring together researchers and practitioners in both industrial and academic communities to approach the challenge of IoT and Big data technologies for e-health, e-care, life-style, aging population, smart personal living, etc.

Topics:

Topics of interest include, but are not limited to, the following scope:

Artificial Intelligence for healthcare data analysis

Machine learning for signal processing

Machine learning for healthcare data analysis

Artificial intelligence for signal processing

Design and Architecture of IoT eHealth Systems

Emerging eHealth IoT Applications

Forensics, Security, Safety and Privacy in eHealth and IoT

Collection, Transmission and Storage of the Healthcare Data in IoT

Intelligent Data Processing and Predictive Algorithms in eHealth

Mobile Sensing and Smartphone Sensing

Medical and Sensor Data Stream Processing

IoT and smart textile for Health

Network Communications for Health Monitoring

Smartphone as a HealthyThing

Wearable Sensor Systems

Data Mining of Health Data on the Cloud

Important Dates:

Manuscript submission deadline: 31 July, 2022Notification of acceptance: 30th Sep, 2022Submission of final revised paper: 31 Oct, 2022Publication of special issue (tentative): 30th Nov, 202

Submission Procedure:

Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through http://www.editorialmanager.com/mone/.

A copy of the manuscript should also be emailed to the Guest Editors at the following email address(es) shuihuawang@ieee.org

Guest Editors:

Shuihua Wang, School of Computing and Mathematical Sciences, University of Leicester, UK

shuihuawang@ieee.org